Morse.power return a series of Nan

[mrl998]

I tried to run the following example：

morse = Morse(1000, r=3., b=17.5)
freq = 60
time = np.arange(0, 0.3, 0.001)
sin = np.array([np.sin(time * freq * 2 * np.pi)])
result = morse.power(sin, range(1, 100))

But the result is full of Nan, and I got the following warning:
...\ninwavelets\base.py:267: RuntimeWarning: invalid value encountered in true_divide
return result / self.get_wavelet_norm(ncp.fft.ifft(result))

How do I fix it?

[uesseu]

Thank you for making issu!
It is first issu for me, and I had no habit to see issues, so my reply became slow.
I am sorry.

Ninwavelets can not transform 2d array now.(I want to support it someday)
Arguments of Morse.power shoudl be np.ndarray or cupy.ndarray now.

Your code should be modified like this.

from ninwavelets import Morse
import matplotlib.pyplot as plt
import numpy as np
morse = Morse(1000, r=3., b=17.5)
freq = 60
time = np.arange(0, 0.3, 0.001)
sin = np.sin(time * freq * 2 * np.pi) # Do not use list, it is already array.
result = morse.power(sin, np.arange(1, 100)) # Use numpy or cupy

plt.imshow(result)
plt.show()

README is not written perfectly yet. Ninwavelets is in heavy development.
Modification of arguments makes ninwavelets fast.
This modification was made in this week.
This is brand new project. I am going to modify README.md.

Thankyou!

[uesseu]

I modified comments of objects and uploaded.